I built an AI that predicts which images will sell more products

Hacker News

Hey everyone, I'm a developer who has spent the last 6 months building an algorithm that predicts which images will sell. Results are great, AI predictions land within 10% of human ranking in 93% of cases. It’s been an exciting journey, but now I'm stepping into the world of marketing, which is pretty new to me. I’ve created Focalstudio's landing page to showcase what this AI can do, but I’m not sure if it’s up to the mark. I would really appreciate some honest feedback on it. What am I doing wrong? What can I improve? I’m here to learn and make it better. Arthur

Visit product View on Hacker NewsAug 19, 2024

Share card

Actual performance

3points

3comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos

87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

There are 100s of similar products so I built this51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

There are 100s of similar products so I built this

Hacker News3

I built ProductHunt for .. well, products49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built ProductHunt for .. well, products

Hacker News2

CREEM 2.075%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sell and grow your AI built products

Product Hunt+590Fintech

Gopay – sell your products on Telegram45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Gopay – sell your products on Telegram

Hacker News12

E-agroths41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A platform for farmers to sell their products effortless.

Indie Hackerscommitment-side-project

Sell with Postcards45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sell with Postcards

Hacker News1

Cash4Tungsten – sell your tungsten cubes for liquidity45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cash4Tungsten – sell your tungsten cubes for liquidity

Hacker News2

CropUp, Sell your _______ on _______45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CropUp, Sell your _______ on _______

Hacker News84

Acta64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sell articles or products from your website

Indie Hackerscommitment-full-time

Dockerfiler: declarative management of images built from Dockerfiles59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dockerfiler: declarative management of images built from Dockerfiles

Hacker News35

Browse all products Analyze your launch